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1.
J Biol Chem ; 289(51): 35530-41, 2014 Dec 19.
Article in English | MEDLINE | ID: mdl-25368328

ABSTRACT

Musashi (MSI) family proteins control cell proliferation and differentiation in many biological systems. They are overexpressed in tumors of several origins, and their expression level correlates with poor prognosis. MSI proteins control gene expression by binding RNA and regulating its translation. They contain two RNA recognition motif (RRM) domains, which recognize a defined sequence element. The relative contribution of each nucleotide to the binding affinity and specificity is unknown. We analyzed the binding specificity of three MSI family RRM domains using a quantitative fluorescence anisotropy assay. We found that the core element driving recognition is the sequence UAG. Nucleotides outside of this motif have a limited contribution to binding free energy. For mouse MSI1, recognition is determined by the first of the two RRM domains. The second RRM adds affinity but does not contribute to binding specificity. In contrast, the recognition element for Drosophila MSI is more extensive than the mouse homolog, suggesting functional divergence. The short nature of the binding determinant suggests that protein-RNA affinity alone is insufficient to drive target selection by MSI family proteins.


Subject(s)
Conserved Sequence/genetics , Nucleotide Motifs/genetics , RNA-Binding Proteins/genetics , RNA/genetics , Algorithms , Animals , Base Sequence , Binding Sites/genetics , Drosophila Proteins/genetics , Drosophila Proteins/metabolism , Fluorescence Polarization , Humans , Kinetics , Magnetic Resonance Spectroscopy , Mice , Molecular Sequence Data , Mutation , Nerve Tissue Proteins/genetics , Nerve Tissue Proteins/metabolism , Protein Binding , RNA/metabolism , RNA-Binding Proteins/biosynthesis , RNA-Binding Proteins/metabolism , Sequence Homology, Nucleic Acid
2.
Elife ; 32014 Jun 16.
Article in English | MEDLINE | ID: mdl-24935936

ABSTRACT

Gene expression and metabolism are coupled at numerous levels. Cells must sense and respond to nutrients in their environment, and specialized cells must synthesize metabolic products required for their function. Pluripotent stem cells have the ability to differentiate into a wide variety of specialized cells. How metabolic state contributes to stem cell differentiation is not understood. In this study, we show that RNA-binding by the stem cell translation regulator Musashi-1 (MSI1) is allosterically inhibited by 18-22 carbon ω-9 monounsaturated fatty acids. The fatty acid binds to the N-terminal RNA Recognition Motif (RRM) and induces a conformational change that prevents RNA association. Musashi proteins are critical for development of the brain, blood, and epithelium. We identify stearoyl-CoA desaturase-1 as a MSI1 target, revealing a feedback loop between ω-9 fatty acid biosynthesis and MSI1 activity. We propose that other RRM proteins could act as metabolite sensors to couple gene expression changes to physiological state.


Subject(s)
Nerve Tissue Proteins/metabolism , Oleic Acid/chemistry , RNA-Binding Proteins/metabolism , Stem Cells/cytology , Allosteric Site , Amino Acid Motifs , Animals , Cell Differentiation , Cell Line, Tumor , Gene Expression Profiling , Gene Expression Regulation , Mice , Molecular Dynamics Simulation , Pluripotent Stem Cells/cytology , Protein Structure, Tertiary , Recombinant Proteins/metabolism , Stearoyl-CoA Desaturase/metabolism , Structure-Activity Relationship
3.
Wiley Interdiscip Rev RNA ; 4(4): 387-96, 2013.
Article in English | MEDLINE | ID: mdl-23653333

ABSTRACT

All living creatures change their gene expression program in response to nutrient availability and metabolic demands. Nutrients and metabolites can directly control transcription and activate second-messenger systems. More recent studies reveal that metabolites also affect post-transcriptional regulatory mechanisms. Here, we review the increasing number of connections between metabolism and post-transcriptional regulation in eukaryotic organisms. First, we present evidence that riboswitches, a common mechanism of metabolite sensing in bacteria, also function in eukaryotes. Next, we review an example of a double stranded RNA modifying enzyme that directly interacts with a metabolite, suggesting a link between RNA editing and metabolic state. Finally, we discuss work that shows some metabolic enzymes bind directly to RNA to affect mRNA stability or translation efficiency. These examples were discovered through gene-specific genetic, biochemical, and structural studies. A directed systems level approach will be necessary to determine whether they are anomalies of evolution or pioneer discoveries in what may be a broadly connected network of metabolism and post-transcriptional regulation.


Subject(s)
Eukaryota/physiology , Gene Expression Regulation/drug effects , Metabolic Networks and Pathways , Protein Biosynthesis/drug effects , RNA Editing/drug effects , RNA Stability/drug effects , Eukaryota/metabolism
4.
PLoS Genet ; 7(1): e1001269, 2011 Jan 06.
Article in English | MEDLINE | ID: mdl-21253564

ABSTRACT

In mice, Quaking (Qk) is required for myelin formation; in humans, it has been associated with psychiatric disease. QK regulates the stability, subcellular localization, and alternative splicing of several myelin-related transcripts, yet little is known about how QK governs these activities. Here, we show that QK enhances Hnrnpa1 mRNA stability by binding a conserved 3' UTR sequence with high affinity and specificity. A single nucleotide mutation in the binding site eliminates QK-dependent regulation, as does reduction of QK by RNAi. Analysis of exon expression across the transcriptome reveals that QK and hnRNP A1 regulate an overlapping subset of transcripts. Thus, a simple interpretation is that QK regulates a large set of oligodendrocyte precursor genes indirectly by increasing the intracellular concentration of hnRNP A1. Together, the data show that hnRNP A1 is an important QK target that contributes to its control of myelin gene expression.


Subject(s)
3' Untranslated Regions , Gene Expression Regulation , Heterogeneous-Nuclear Ribonucleoprotein Group A-B/metabolism , Oligodendroglia/metabolism , RNA-Binding Proteins/genetics , Alternative Splicing , Animals , Base Sequence , Cell Differentiation , Cell Line , Conserved Sequence , Exons , Heterogeneous Nuclear Ribonucleoprotein A1 , Heterogeneous-Nuclear Ribonucleoprotein Group A-B/genetics , Humans , Mice , Myelin-Associated Glycoprotein/genetics , Oligodendroglia/cytology , Oligonucleotide Array Sequence Analysis , RNA Stability , RNA, Small Interfering/genetics , Rats , Sequence Alignment
5.
RNA ; 17(1): 14-20, 2011 Jan.
Article in English | MEDLINE | ID: mdl-21098142

ABSTRACT

Sequence-specific recognition of nucleic acids by proteins is required for nearly every aspect of gene expression. Quantitative binding experiments are a useful tool to measure the ability of a protein to distinguish between multiple sequences. Here, we describe the use of fluorophore-labeled oligonucleotide probes to quantitatively monitor protein/nucleic acid interactions. We review two complementary experimental methods, fluorescence polarization and fluorescence electrophoretic mobility shift assays, that enable the quantitative measurement of binding affinity. We also present two strategies for post-synthetic end-labeling of DNA or RNA oligonucleotides with fluorescent dyes. The approaches discussed here are efficient and sensitive, providing a safe and accessible alternative to the more commonly used radio-isotopic methods.


Subject(s)
DNA-Binding Proteins/metabolism , Fluorescent Dyes/metabolism , Nucleic Acids/metabolism , Oligonucleotide Probes/metabolism , Proteins/metabolism , Animals , DNA-Binding Proteins/chemistry , Electrophoretic Mobility Shift Assay , Fluorescence Polarization , Humans , Protein Binding
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